Prakash K L, Raghavendra K, Somashekar R K
Department of Environmental Sciences, Bangalore University, Jnanabharathi Campus, Bangalore, India.
J Environ Biol. 2009 Mar;30(2):235-40.
This paper describes the Time series analysis of river water quality with emphasis on variation in parameters as evidenced by statistical approach and mathematical models. The extensive study enabled to differentiate and realize the behaviour of river and catchment's changes induced by human activities. The Time series analysis evaluation indicated trivial variation and movement in the water quality as reflected by the changes in the catchment characteristics. Although the observed trends showed an insignificant human contribution to basin hydrology and river water chemistry, noticeable human activities and unsustainable practices steadily contributed to change in water quality from the existing long term spectral signatures to short term spectral signatures. It is inferred that short term spectral signature exhibited on temporal scale by a monitoring program of this kind reflects an insalubrious river system and long term gradual changes in spectrum is an indication of healthy system. Monitoring and analyses of these decisive changes in water quality parameters over a period could be a powerful tool for assessing general river water quality and management plan.
本文描述了河流水质的时间序列分析，重点是通过统计方法和数学模型所证明的参数变化。广泛的研究能够区分并认识到人类活动引起的河流和集水区变化的行为。时间序列分析评估表明，集水区特征的变化反映出水质存在微小的变化和波动。尽管观察到的趋势显示人类对流域水文和河流水化学的贡献不显著，但明显的人类活动和不可持续的做法稳步导致水质从现有的长期光谱特征转变为短期光谱特征。据推断，这种监测计划在时间尺度上呈现的短期光谱特征反映了不健康的河流系统，而光谱的长期逐渐变化则表明系统健康。在一段时间内对这些水质参数的决定性变化进行监测和分析，可能是评估河流水质总体情况和管理计划的有力工具。
